Login

Ice Dogs
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Daniel Pigeon | Morale : 40 | Team Overall : 63
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Team Leaders

Team Stats
Team Info

General ManagerDaniel Pigeon
DivisionDivision 2
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team26
Farm Team22
Contract Limit48 / 250
Prospects28


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Paul ByronX100.008650907550605557555264685389670406903424,000,000$
2Lane PedersonX100.00896575736677426365576659556465040680261735,000$
3Jasper WeatherbyX100.00695288738360556264536158495861040660251842,500$
4Alexander SteenX100.004745558069605564395853553052750406403933,500,000$
5Garrett PilonX100.00545090736560555556506550366062040630252750,000$
6Brendan PerliniX100.00615188737860555545505850447057040620275750,000$
7Mikhail GrigorenkoX100.004745557377605559345451523052650406102931,200,000$
8Kole SherwoodX100.00775090737260555532505050306552040610261735,000$
9Markus HannikainenX100.00474555737060555935555152305266040600302750,000$
10Arnaud Durandeau (R)X100.0054507667647830563650505431585504060N0245750,000$
11Sean MaloneX100.00474555736660555933545052305264040600284750,000$
12Markus GranlundX100.004745557363605559355551523052660406003021,300,000$
13Zachary SenyshynX100.00665063737160555531505050306551040590261700,000$
14Jayce HawrylukX100.00474555736360555833545051305263040590275750,000$
15Andrej SekeraX100.005952857567605555355457614899660406703724,500,000$
16Jacob Bernard-DockerX100.00635979726676375540555164336158040660231925,000$
17Ronnie AttardX100.00625090677882306036505066306056040660241842,500$
18Slater KoekkoekX100.00695278737260555535615058457663040660293850,000$
19Jay BouwmeesterX100.004745558080605565395853553052760406504023,250,000$
20Mac Hollowell (R)X100.00505081725278305536645059315963040630252750,000$
21Niklas HjalmarssonX100.004745557175605563375752543052720406303626,000,000$
22Aaron NessX100.00474555735860556136565153305269040610332650,000$
23Nelson NogierX100.00474555737160555833545051305263040600275750,000$
24Ryan MurphyX100.00474555736160555935555152305266040600302825,000$
Scratches
1Cameron HillisX100.00425090735360555542505050305651065570231842,500$
TEAM AVERAGE100.0057497173686451584054535535606304163
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Joseph Woll100.0070449283825965666575545964040690252750,000$
Scratches
TEAM AVERAGE100.007044928382596566657554596404069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contrat Signature Date Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Aaron NessIce Dogs (DAY)D331990-05-18No184 Lbs5 ft10NoNoN/ANoNo2Pro & Farm650,000$650,000$0$0$No650,000$--------No--------
Alexander SteenIce Dogs (DAY)LW391984-03-01No211 Lbs6 ft0NoNoN/ANoNo3Pro & Farm3,500,000$3,500,000$0$0$No3,500,000$3,500,000$-------NoNo-------
Andrej SekeraIce Dogs (DAY)D371986-06-08No200 Lbs6 ft0NoNoN/ANoNo2Pro & Farm4,500,000$4,500,000$0$0$No4,500,000$--------No--------
Arnaud DurandeauIce Dogs (DAY)LW241999-01-14Yes185 Lbs6 ft0YesNoN/ANoNo5Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$750,000$-----YesYesYesYes-----
Brendan PerliniIce Dogs (DAY)LW271996-04-27No211 Lbs6 ft3NoNoN/ANoNo5Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$750,000$-----NoNoNoNo-----
Cameron HillisIce Dogs (DAY)C232000-06-24No175 Lbs5 ft9NoNoN/ANoNo1Pro & Farm842,500$842,500$0$0$No------------------
Garrett PilonIce Dogs (DAY)C251998-04-13No191 Lbs6 ft0NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Jacob Bernard-DockerIce Dogs (DAY)D232000-06-30No190 Lbs6 ft0NoNoN/ANoNo1Pro & Farm925,000$925,000$0$0$No------------------
Jasper WeatherbyIce Dogs (DAY)C251998-01-22No222 Lbs6 ft4NoNoN/ANoNo1Pro & Farm842,500$842,500$0$0$No------------------
Jay BouwmeesterIce Dogs (DAY)D401983-09-27No206 Lbs6 ft4NoNoN/ANoNo2Pro & Farm3,250,000$3,250,000$0$0$No3,250,000$--------No--------
Jayce HawrylukIce Dogs (DAY)C271996-01-01No196 Lbs5 ft11NoNoN/ANoNo5Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$750,000$-----NoNoNoNo-----
Joseph WollIce Dogs (DAY)G251998-07-12No203 Lbs6 ft3NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Kole SherwoodIce Dogs (DAY)RW261997-01-22No212 Lbs6 ft1NoNoN/ANoNo1Pro & Farm735,000$735,000$0$0$No------------------
Lane PedersonIce Dogs (DAY)C261997-08-04No192 Lbs6 ft0NoNoN/ANoNo1Pro & Farm735,000$735,000$0$0$No------------------
Mac HollowellIce Dogs (DAY)D251998-09-26Yes170 Lbs5 ft9NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Markus GranlundIce Dogs (DAY)RW301993-04-16No180 Lbs6 ft0NoNoN/ANoNo2Pro & Farm1,300,000$1,300,000$0$0$No1,300,000$--------No--------
Markus HannikainenIce Dogs (DAY)LW301993-03-26No200 Lbs6 ft1NoNoN/ANoNo2Pro & Farm750,000$750,000$0$0$No750,000$--------No--------
Mikhail GrigorenkoIce Dogs (DAY)RW291994-05-16No206 Lbs6 ft3NoNoN/ANoNo3Pro & Farm1,200,000$1,200,000$0$0$No1,200,000$1,200,000$-------NoNo-------
Nelson NogierIce Dogs (DAY)D271996-01-01No191 Lbs6 ft2NoNoN/ANoNo5Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$750,000$-----NoNoNoNo-----
Niklas HjalmarssonIce Dogs (DAY)D361987-06-06No197 Lbs6 ft3NoNoN/ANoNo2Pro & Farm6,000,000$6,000,000$0$0$No6,000,000$--------No--------
Paul ByronIce Dogs (DAY)LW341989-04-27No158 Lbs5 ft9NoNoN/ANoNo2Pro & Farm4,000,000$4,000,000$0$0$No4,000,000$--------No--------
Ronnie AttardIce Dogs (DAY)D241999-03-20No208 Lbs6 ft3NoNoN/ANoNo1Pro & Farm842,500$842,500$0$0$No------------------
Ryan MurphyIce Dogs (DAY)D301993-03-31No185 Lbs5 ft11NoNoN/ANoNo2Pro & Farm825,000$825,000$0$0$No825,000$--------No--------
Sean MaloneIce Dogs (DAY)C281995-01-01No197 Lbs6 ft0NoNoN/ANoNo4Pro & Farm750,000$750,000$0$0$No750,000$750,000$750,000$------NoNoNo------
Slater KoekkoekIce Dogs (DAY)D291994-02-18No193 Lbs6 ft2NoNoN/ANoNo3Pro & Farm850,000$850,000$0$0$No850,000$850,000$-------NoNo-------
Zachary SenyshynIce Dogs (DAY)LW261997-03-30No205 Lbs6 ft1NoNoN/ANoNo1Pro & Farm700,000$700,000$0$0$No------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2628.77195 Lbs6 ft12.381,478,750$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Markus Granlund34122
230122
3Lane Pederson26122
4Markus Hannikainen10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
134122
230122
326122
4Aaron Ness10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Markus Granlund51122
249122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
151122
2Markus Granlund49122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15112251122
24912249122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
151122
2Markus Granlund49122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Markus Granlund
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Markus Granlund
Extra Forwards
Normal PowerPlayPenalty Kill
, , Lane Pederson, Lane Pederson
Extra Defensemen
Normal PowerPlayPenalty Kill
Jacob Bernard-Docker, Ryan Murphy, Jacob Bernard-DockerRyan Murphy,
Penalty Shots
, , Markus Granlund, , Lane Pederson
Goalie
#1 : , #2 :


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
0000000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price350
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 0$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




Ice Dogs Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Ice Dogs Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Ice Dogs Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Ice Dogs Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Ice Dogs Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA